Abstract
Requirements engineering is the Achilles’ heel of the whole software development process, because requirements documents are often inconsistent and incomplete. Misunderstandings and errors of the requirements engineering phase propagate to later development phases and can potentially lead to a project failure.
A promising way to overcome misunderstandings is to extract and validate terms used in requirements documents and relations between these terms. This position paper gives an overview of the existing terminology extraction methods and shows how they can be integrated to reach a comprehensive text analysis approach. It shows how the integrated method would both detect inconsistencies in the requirements document and extract an ontology after elimination of inconsistencies. This integrated method would be more reliable than every of its single constituents.
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Kof, L. (2005). Natural Language Processing: Mature Enough for Requirements Documents Analysis?. In: Montoyo, A., Muńoz, R., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2005. Lecture Notes in Computer Science, vol 3513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428817_9
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DOI: https://doi.org/10.1007/11428817_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26031-8
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